Neural Nets for NLP 2018 - Learning from-for Knowledge Graphs

Neural Nets for NLP 2018 - Learning from-for Knowledge Graphs

Graham Neubig via YouTube Direct link

Knowledge Bases . Structured databases of knowledge usually containing

1 of 10

1 of 10

Knowledge Bases . Structured databases of knowledge usually containing

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Neural Nets for NLP 2018 - Learning from-for Knowledge Graphs

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  1. 1 Knowledge Bases . Structured databases of knowledge usually containing
  2. 2 WordNet (Miller 1995)
  3. 3 Knowledge Base Incompleteness
  4. 4 Relation Extraction w/ Neural Tensor Networks (Socher et al. 2013)
  5. 5 Relation Extraction w/ Hyperplane Translation (Wang et al. 2014) • Motivation it is not realistic to assume that al dimensions are relevant to a particular relation • Solution project the word vector…
  6. 6 Decomposable Relation Model (Xie et al. 2017)
  7. 7 Modeling Distant Supervision Noise in Neural Models (Luo et al. 2017)
  8. 8 Modeling Word Embeddings vs. Modeling Relations
  9. 9 Tensor Decomposition (Sutskever et al. 2009)
  10. 10 Retrofitting of Embeddings to Existing Lexicons (Faruqui et al. 2015)

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